Triple
T13690520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Waterfront (Tokyo DisneySea) |
E328247
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | area in theme park |
C6497
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: area in theme park Context triple: [American Waterfront (Tokyo DisneySea), instanceOf, area in theme park]
-
A.
amusement park attraction area
An amusement park attraction area is a designated section within an amusement park that groups together themed rides, games, and entertainment experiences to create a cohesive and immersive visitor environment.
-
B.
theme park setting
A theme park setting is a large, immersive entertainment environment organized around specific themes, featuring rides, attractions, performances, and themed areas designed to create a cohesive, fantastical experience for visitors.
-
C.
theme park entrance
The theme park entrance is the primary access point where guests transition from the outside world into the park, typically featuring ticketing, security, and iconic visual elements that establish the park’s identity and atmosphere.
-
D.
amusement park land
chosen
An amusement park land is a themed area within an amusement or theme park that groups together attractions, rides, entertainment, and decor around a cohesive story, setting, or concept.
-
E.
theme park complex
A theme park complex is a large, integrated entertainment destination that combines multiple themed parks, attractions, accommodations, dining, and retail areas into a unified visitor experience.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.